Articles

This paper present the University of Washing- ton’s submission to the 2008 ACL SMT shared ma- chine translation task. Two systems, for English-to- Spanish and German-to-Spanish translation are de- scribed. Our main focus was on testing a novel boosting framework for N-best list reranking and on handling German morphology in …...

. Recent research has shown the importance of using source context information to disambiguate source phrases in phrase-based Sta- tistical Machine Translation. Although encouraging results have been obtained, those studies mostly focus on translating into a less inflected target language. In this article, we present an attempt at using source …...

. In this paper, we focus on alignment of Czech and English tectogrammatical dependency trees. The alignment of deep syntactic de- pendency trees can be used for training transfer models for machine translation systems based on analysis-transfer-synthesis architecture. The results of our experiments show that shifting the alignment task from …...

. In this article we present machine translationness (MTness, henceforth) as an approach for MT evaluations, in contrast to the notion of human likeness which is the basic criteria for state-of-the-art automatic evaluations. Our approach is based on the detection of phenomena that contribute to the MTness of a translation …...

. This paper concerns the translation of spoken English into Mandarin Chinese, paying particular attention to the emphatic/contrastive focus in WH- questions which is realised by means of phonological stress in spoken English but by lexical and syntactic devices in Mandarin. A translation framework which is capable of treating emphatic/contrastive …...

. This paper deals with core aspects of discriminative word alignment systems, namely basic word association models as well as search strategies. We compare various low-computational-cost word as- sociation models: χ2 score, log-likelihood ratio and IBM model 1. We also compare three beam-search strategies. We show that it is more …...

. Boosting is a general method for improving the accuracy of a given learning algorithm under certain restrictions. In this work, AdaBoost, one of the most popular boosting algorithms, is adapted and applied to statistical machine translation. The appropriateness of this technique in this scenario is evaluated on a real …...

. The paper gives an overview of the shallow-transfer MT sys- tem Apertium, describes an experiment with the language pair Portuguese- Spanish and suggests a modification of the system architecture which leads to higher translation quality. Finally, consequences of the archi- tecture improvement for the design of language resources for …...

. In this paper we are introducing a modified Dijkstra’s shortest path algorithm used to detect the target language phrases. We list the indexes of the source sentence’s words which were found in the target language corpus and create a directed graph to detect the phrases that form a shortest …...

We present a method of encoding transfer rules in a highly efficient packed structure us- ing contextualized constraints (Maxwell and Kaplan, 1991), an existing method of encod- ing adopted from LFG parsing (Kaplan and Bresnan, 1982; Bresnan, 2001; Dalrymple, 2001). The packed representation allows us to encode O(2n) transfer rules …...

. Log-linear models represent nowadays the state-of-the-art in statistical machine translation. There, several models are combined al- together into a whole statistical approach. Finite-state transducers cons- titute a special type of statistical translation model whose interest has been proved in different translation tasks. The goal of this work is to …...

. Azerbaijani (The Azerbaijani language) is one of the languages of Turkic group which are morphologically rich languages. While creating the machine translation (MT) system from Azerbaijani, it is not possible to create an MT dictionary consisted of all word-forms of Azerbaijani, because Azer- baijani is an agglutinative language and …...

. This paper presents two hybrid architectures combining rule- based and statistical machine translation (RBMT and SMT) technology. In the first case, several existing MT engines are combined in a multi- engine setup, and a decoder for SMT is used to select and combine the best expressions proposed by different …...

. Nagao [8] suggests to model machine translation as an imitation of a process that can be observed in human translation behavior. However, not much work has been done in an MT context that looks into human translation processes. This paper seeks to introduce a research method for the investigation …...

We compare three commercial Machine Translation (MT) systems, Power Translator Pro1, SYSTRAN2, and T1 Langenscheidt3, with the research hybrid, statistical and rule-based system, METIS-II, with respect to identification of idioms. Firstly, we make a distinction between continuous (adjacent constituents) and discontinuous idioms (non-adjacent constituents). Secondly, we describe our idiom resources …...

. The limited coverage of available Arabic language lexicons causes a serious challenge in Arabic cross language information retrieval. Translation in cross language information retrieval consists of assigning one of the semantic representation terms in the target language to the intended query. Despite the problem of the completeness of the …...

Meteor is an automatic metric for Ma- chine Translation evaluation which has been demonstrated to have high levels of corre- lation with human judgments of translation quality, significantly outperforming the more commonly used Bleu metric. It is one of several automatic metrics used in this year’s shared task within the …...

This article describes the combination of a SYSTRAN system with a “statistical post- editing” (SPE) system. We document qualitative analysis on two experiments performed in the shared task of the ACL 2007 Workshop on Statistical Machine Translation. Comparative results and more integrated “hybrid” techniques are dis- cussed. 1...

This paper describes experiments with English-to-Czech phrase-based machine translation. Additional annotation of input and output tokens (multiple factors) is used to explicitly model morphology. We vary the translation scenario (the setup of multi- ple factors) and the amount of information in the morphological tags. Experimental results demonstrate significant improvement of …...

For the WMT 2007 shared task, the UC Berkeley team employed three techniques of interest. First, we used monolingual syntac- tic paraphrases to provide syntactic variety to the source training set sentences. Sec- ond, we trained two language models: a small in-domain model and a large out-of- domain model. Finally, …...